• Resources Recycling
• /
• v.16 no.6
• /
• pp.61-67
• /
• 2007

Teshima is a quiet and beautiful island, but started to be imaged as an "island of wastes" because of the 600,000 tons of industrial wastes thrown there illegally. Now it symbolizes the problem of industrial wastes in Japan. Teshima development company, an industrial waste disposer, started to dispose industrial wastes illegally in the west side of the island, since the late 1970s. Police Station exposed this illegal act, and arrested 6 persons of the company, including its president, in charge of having violated the Waste Disposal and Public Cleansing Law in 1991. This illegal disposition has continued for 13years until it was exposed by the police. Teshima case of industrial wastes are introduced in this paper.

• 한국해양학회지
• /
• v.28 no.2
• /
• pp.142-152
• /
• 1993

해양에 투기된 폐기물의 시공간적인 분포와 변화과정은 해양 물리학적 확산과 이 동, 생물학적 흡수 및 변환과정, 화학적 반응 및 상태변화등 여러 과정이 복합적으로 작용하여 일여난다. 이러한 폐기물의 해양투기가 해양생태계 및 환경보전에 미치는 여 러 가지 영향은 이에 대한 규제 및 적절한 운용을 통하여 원활한 해양생태 및 환경을 유지할 수 있도록 최소화되어야 한다. 해양투기의 최적화를 위하여서는 첫째, 생태학 적 배제원칙(biological exclusion)이 최우선적으로 고려되어야 하고 둘째, 생태계 및 수산자원 보존을 위하여 원활한 해수교환 및 물질확산이 극대화된 투기장소의 입지 선 정(hydrographic option)이 매우 중요하다. 둘째 로는 적법한 투기행위 및 적절한 투 기장 운용을 위한 감독 및 감시체제의 확립이 필요하다. 현재 우리 나라의 해양 폐기 물 투기는 초기의 단계에 있으나 최근 점차 요구되는 인접 해양국가 간의는 지역환경 협의체 구성 및 국가간 환경 부담 비용을 고려할 때 공해상의 해양투기는 더 이상 국 내적 문제가 아니므로 보다 신중한 해양투기 활동 및 타당성의 국토가 필요하다. 황해 에 위치한 투기장의 경우 현재까지의 관련자료를 검토할 때 적정 투기 규모 및 투기장 입지 선정, 그리고 불법 폐기물 투기가능성의 미비점에 대한 보완책이 필요한 것으로 사료된다.

• Journal of the Korean Data and Information Science Society
• /
• v.21 no.5
• /
• pp.883-890
• /
• 2010

Illegal waste dumping is one of the major problems that the government agency monitoring water quality has to face. One solution to this problem is to find an efficient way of managing and supervising the water quality under various kinds of conditions. In this article we establish WQMA (water quality monitoring algorithm) based on the time series intervention model. It turns out thatWQMA is quite successful in detecting illegal waste dumping.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2020.07a
• /
• pp.287-288
• /
• 2020

우리나라의 무단 투기된 쓰레기양은 2019년 2월 기준 33만 톤이며 이를 단속하기 위해 상용화된 쓰레기 무단투기 단속 시스템은 센서를 이용하여 시스템 주변에 사람이 지나가면 영상을 촬영하기 때문에 쓰레기 무단투기자 뿐 아니라 해당 시스템 주변을 지나는 모든 사람을 촬영하기 때문에 불법 쓰레기를 배출하는지 해당 영상을 사람이 일일이 다시 분석해야한다. 본 논문에서는 쓰레기 투기 행위 이미지를 바탕으로 학습시킨 딥러닝 실시간 객체인식 알고리즘인 YOLO-v4를 활용하여 실시간으로 쓰레기 무단투기를 단속하는 시스템을 제시한다.

• Journal of the Korea Organic Resources Recycling Association
• /
• v.20 no.1
• /
• pp.31-40
• /
• 2012

In order to making resources for the organic wastes, it is very important to understand for the life cycle of wastes before the physicochemical analysis and engineering technology. Therefore we try to fine the solution through the interdisciplinary consilience between natural science and social science for the management of refuge in summer resort. Summer visitors of beach answered that fly tipping of refuse was 65.56% and insufficient separation was 17.78% about the survey. But insufficient separation was 42.5% and fly tipping was 37.5% in valley. The survey for the effective methods at reducing refuse was represented that campaign and teaching was 47.78%, fine was 23.33% and using the standard bags was 18.89% in beach. Campaign and teaching was 37.5%, using the standard bags was 37.5% and fine was 15% in valley. Bulk density of refuse in gyeongpo beach was measured in $74kg/m^{3}$. This value was three times as much low than municipal solid wastes. Moreover, the composition of refuses in beach showed that combustible materials was 81.1% and incombustible materials was 18.9%. Moisture, ash and combustibles were analyzed 19.0%, 9.2% and 91.8% respectively.

• Korean Journal of Environment and Ecology
• /
• v.7 no.2
• /
• pp.221-230
• /
• 1994

Visitors to Tokyusan National Park were surveyed from August 9 to 12 During this time, 443 vistors were contacted. Of those individuals, 68.7% were males. 27.5% of respondents reported that they had gone beyond high shcool, and over one-half (64.9%) had gone as far as college. 54.7% were 20 years of age. 42.9% of the survey respondents were making their frist trip to Kuch'ontong and 67.9% to Muju Resort. The largest percentage of respondents were reported that they visited Tokyusan National Park for rippling. In group type, majority were traveling with their friends or family. In activity characteristics, 83.4％ were staying over nights visitors, and over 50% mentioned staying at private houses or hotels. In six types of normative violations, major reasons of littering behavior were unintentional violation and releaser-cue violation. Most respondents who witness other visitors' littering were not likely to intervene to stop their visitors' depreciative behavior(Bystander intervention Behavior). Most of visitors want to get more information from national park office.

• Proceedings of the Safety Management and Science Conference
• /
• 2007.04a
• /
• pp.197-203
• /
• 2007

Teshima has been a quiet and beautiful island, but started to be imaged as an "island of wastes" because of the 600,000 tons of industrial wastes thrown there illegally. Now it symbolizes the problem of industrial wastes in Japan. Teshima development company, an industrial waste disposer, started to dispose industrial wastes illegally in the west side of the island, since the late 1970s. Hyogo Police Station exposed this illegal act, and arrested 6 persons of the company, including its president, in charge of having violated the Waste Disposal and Public Cleansing Law in 1991. This illegal disposition has continued for 13years until it was exposed by the police. Teshima case of industrial wastes are introduced in this paper.

• Applied Chemistry for Engineering
• /
• v.27 no.6
• /
• pp.664-668
• /
• 2016

The contamination in soil, underground water and river environment became serious due to illegal waste dumping. In this study, our research group analyzed the oil species of illegally disposed oils from J City. After pretreating the mixture of oil, water and solid phases to obtain homogeneous phase components, the physical property analysis, atom analysis, and gas chromatography were performed. From the results showing 11.8% of oxygen content, $-6^{\circ}C$ of pour point and chromatogram pattern. the contaminated oil was identified as a vegetable one. High performance liquid chromatography (HPLC) analysis was also performed in order to know what kind of vegetable oil was, and the ratio of LLO, OOL and POL was found to be high indicating that the disposed oil is majorly the used soybean oil with some vegetable oil mixtures. This study can be used for identifying contaminators for oils from the illegal waste dumping.

• Korean Journal of Environment and Ecology
• /
• v.9 no.2
• /
• pp.187-196
• /
• 1996

Visitors to O-Daesan National Park were surveyed from July 28 to 31 in 1995. During that time, 392 visitors were contacted. Of those individuals, 52% were males and 48% of females. 68% of respondents reported that they had gone as far as college. 50% were 20 years of age. the largest percentage of respondents were reported that they visited O-daesan Nat'l Park for enjoying natural landscape. In group type, 40% were traveling with their family and 36% with their friends. In activity characteristics, 38% were 1 day-2nights visitors and 37% were day-time visitors. 45% did cooking and 21% were mentioned carrying in their own food. Generally most respondents were perceived that the environmental pollution. Most respondents were not likely to intervene to stop other visitors' depreciative behavior(Bystander intervention behavior). And their perceived broadcasting for guidance of use in National Park.

• Journal of the Korean Data and Information Science Society
• /
• v.22 no.3
• /
• pp.449-458
• /
• 2011

Illegal waste dumping is one of the major problems that the government agency monitoring water quality has to face. Recently government agency installed COD (chemical oxygen demand) auto-monitering machines in river. In this article we provide an outlier detection algorithm using R based on the time series intervention model that detects some outlier values among those COD time series values generated from an auto-monitering machine. Through this algorithm using R, we can achieve an automatic algorithm that does not need manual intervention in each step, and that can further be used in simulation study.